Course Code

datavis1

Duration

28 hours (usually 4 days including breaks)

Requirements

Some knowledge on data plotting X-Y graphs, histograms and scatter plots plus a general understanding of trends in data and time series graphing.

Overview

This course is intended for engineers and decision makers working in data mining and knoweldge discovery.

You will learn how to create effective plots and ways to present and represent your data in a way that will appeal to the decision makers and help them to understand hidden information.

Course Outline

Day 1:

what is data visualization
why it is important
data visualization vs data mining
human cognition
HMI
common pitfalls

Day 2:

different type of curves
drill down curves
categorical data plotting
multi variable plots
data glyph and icon representation

Day 3:

plotting KPIs with data
R and X charts examples
what if dashboards
parallel axes mixing
categorical data with numeric data

Day 4:

different hats of data visualization
how can data visualization lie
disguised and hidden trends
a case study of student data
visual queries and region selection

Testimonials

★★★★★

I thought that the information was interesting.

Allison May

I really appreciated that Jeff utilized data and examples that were applicable to education data. He made it interesting and interactive.

Carol Wells Bazzichi

Learning about all the chart types and what they are used for. Learning the value of cluttering. Learning about the methods to show time data.

Susan Williams

Trainer was enthusiastic.

Diane Lucas

I really liked the content / Instructor.

Craig Roberson

I am a hands-on learner and this was something that he did a lot of.

Lisa Comfort

I liked the examples.

Peter Coleman

I liked the examples.

Peter Coleman

I enjoyed the good real world examples, reviews of existing reports.

Ronald Parrish

Related Categories

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Course Discounts

No course discounts for now.

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Data Visualization Training Course